首页|期刊导航|Journal of Electronic Science and Technology|Knowledge graph-enhanced framework for electric power engineering report generation

Knowledge graph-enhanced framework for electric power engineering report generation

Chen Qian Yu-Yan Chen Jia-Ying Yang Xiao-Wen Le Xiao-Yang Shen Yi-Heng Zeng

Journal of Electronic Science and Technology2026，Vol.24Issue(1)：P.46-64,19.

Journal of Electronic Science and Technology2026，Vol.24Issue(1)：P.46-64,19.DOI:10.1016/j.jnlest.2025.100344

Knowledge graph-enhanced framework for electric power engineering report generation

Chen Qian ¹Yu-Yan Chen ¹Jia-Ying Yang ¹Xiao-Wen Le ¹Xiao-Yang Shen ¹Yi-Heng Zeng²

作者信息

1. State Grid Shanghai Economic Research Institute,Shanghai,200002,China
2. Department of Computer Science,University College London,London,WC1E 7JE,UK
折叠

摘要

关键词

Entity recognition/Improved Transformer model/Knowledge graph enhancement/Power grid engineering report/generation/Relation extraction

分类

信息技术与安全科学

引用本文复制引用

Chen Qian,Yu-Yan Chen,Jia-Ying Yang,Xiao-Wen Le,Xiao-Yang Shen,Yi-Heng Zeng..Knowledge graph-enhanced framework for electric power engineering report generation[J].Journal of Electronic Science and Technology,2026,24(1):P.46-64,19.

基金项目

supported by State Grid Shanghai Economic Research Institute under Grant No.SGTYHT/23-JS-004. （）

Journal of Electronic Science and Technology

ISSN：1674-862X

访问量0

下载量0

段落导航